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pubmed-article:10899151pubmed:issue7lld:pubmed
pubmed-article:10899151pubmed:dateCreated2000-9-28lld:pubmed
pubmed-article:10899151pubmed:abstractTextThe parking strategy is an iterative approach to DNA sequencing. Each iteration consists of sequencing a novel portion of target DNA that does not overlap any previously sequenced region. Subject to the constraint of no overlap, each new region is chosen randomly. A parking strategy is often ideal in the early stages of a project for rapidly generating unique data. As a project progresses, parking becomes progressively more expensive and eventually prohibitive. We present a mathematical model with a generalization to allow for overlaps. This model predicts multiple parameters, including progress, costs, and the distribution of gap sizes left by a parking strategy. The highly fragmented nature of the gaps left after an initial parking strategy may make it difficult to finish a project efficiently. Therefore, in addition to our parking model, we model gap closing by walking. Our gap-closing model is generalizable to many other strategies. Our discussion includes modified parking strategies and hybrids with other strategies. A hybrid parking strategy has been employed for portions of the Human Genome Project.lld:pubmed
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pubmed-article:10899151pubmed:authorpubmed-author:SiegelA FAFlld:pubmed
pubmed-article:10899151pubmed:authorpubmed-author:RoachJ CJClld:pubmed
pubmed-article:10899151pubmed:authorpubmed-author:ThorssonVVlld:pubmed
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pubmed-article:10899151pubmed:volume10lld:pubmed
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pubmed-article:10899151pubmed:pagination1020-30lld:pubmed
pubmed-article:10899151pubmed:dateRevised2009-11-18lld:pubmed
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pubmed-article:10899151pubmed:year2000lld:pubmed
pubmed-article:10899151pubmed:articleTitleParking strategies for genome sequencing.lld:pubmed
pubmed-article:10899151pubmed:affiliationThe Institute for Systems Biology, Seattle, Washington 98105 USA. jroach@systembiology.orglld:pubmed
pubmed-article:10899151pubmed:publicationTypeJournal Articlelld:pubmed
pubmed-article:10899151pubmed:publicationTypeResearch Support, U.S. Gov't, Non-P.H.S.lld:pubmed
pubmed-article:10899151pubmed:publicationTypeResearch Support, Non-U.S. Gov'tlld:pubmed
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